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Join us at the upcoming conference on “Managing Decarbonization – the Cases of Germany and Canada” hosted and led by the UBC Institute for European Studies in partnership with PICS. This international conference is open to the public and free of charge, made possible by a grant of the Foreign Ministry of the Federal Republic of Germany. Conference proceedings will focus on climate policies to support cohesive growth and innovation for the environment and the economy.

Probabilistic regression approaches for downscaling daily temperature and precipitation are very useful. They provide the whole conditional distribution at each forecast step which leads to a better representation of the temporal variability. The question addressed in this study is: how to extend probabilistic regression approaches in multisite and multivariable downscaling tasks. To this end, this study describes a probabilistic hybrid modular structure which merges the probabilistic regression component with a multivariate randomisation component.

At the December 2015 Paris climate conference (COP21), 195 countries agreed to reduce their carbon emissions and limit global climate change. While the agreement was ambitious, it also recognized that less developed countries would require more time to begin reducing their emissions. While some question whether it is fair to hold them to the same standard as societies that grew wealthy from carbon-driven industry, it is also clear that many of these countries have the most to lose.